Prediction of Emergency Cesarean Section Using Detectable Maternal and Fetal Characteristics Among Saudi Women

BACKGROUND: The worldwide rate of cesarean section (CS) is increasing. Development of prediction models for a specific population may improve the unmet need for CS as well as reduce the overuse of CS. OBJECTIVE: To explore risk factors associated with emergency CS, and to determine the accuracy of p...

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Detalles Bibliográficos
Autores principales: Wahabi, Hayfaa, Fayed, Amel, Elmorshedy, Hala, Esmaeil, Samia Ahmad, Amer, Yasser S, Saeed, Elshazaly, Jamal, Amr, Aleban, Sarah A, Aldawish, Reema Abdullah, Alyahiwi, Lara Sabri, Abdullah Alnafisah, Haya, AlSubki, Raghad E, Albahli, Norah khalid, Almutairi, Aljohara Ayed
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove 2023
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10422959/
https://www.ncbi.nlm.nih.gov/pubmed/37576185
http://dx.doi.org/10.2147/IJWH.S414380

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10422959/
https://www.ncbi.nlm.nih.gov/pubmed/37576185
http://dx.doi.org/10.2147/IJWH.S414380

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